Real Time Video based Heart and Respiration Rate Monitoring

TL;DR

This paper presents a novel method to extract heart and respiration rates from face videos using hue fluctuations, demonstrating improved accuracy over traditional green channel methods in a study with 25 individuals.

Contribution

The study introduces a hue-based iPPG extraction technique for vital signs monitoring from facial videos, enhancing accuracy over existing green channel approaches.

Findings

Hue-based iPPG yields more accurate HR and RR measurements.

The method was validated on 25 healthy subjects.

20-second face videos are sufficient for reliable vital sign estimation.

Abstract

In recent years, research about monitoring vital signs by smartphones grows significantly. There are some special sensors like Electrocardiogram (ECG) and Photoplethysmographic (PPG) to detect heart rate (HR) and respiration rate (RR). Smartphone cameras also can measure HR by detecting and processing imaging Photoplethysmographic (iPPG) signals from the video of a user's face. Indeed, the variation in the intensity of the green channel can be measured by the iPPG signals of the video. This study aimed to provide a method to extract heart rate and respiration rate using the video of individuals' faces. The proposed method is based on measuring fluctuations in the Hue, and can therefore extract both HR and RR from the video of a user's face. The proposed method is evaluated by performing on 25 healthy individuals. For each subject, 20 seconds video of his/her face is recorded. Results show that the proposed approach of measuring iPPG using Hue gives more accurate rates than the Green channel.